Literature DB >> 28982141

Experimental human-like model to assess the part of viable Legionella reaching the thoracic region after nebulization.

Jérémie Pourchez1, Lara Leclerc1, Françoise Girardot2, Serge Riffard2, Nathalie Prevot3, Séverine Allegra2.   

Abstract

The incidence of Legionnaires' disease (LD) in European countries and the USA has been constantly increasing since 1998. Infection of humans occurs through aerosol inhalation. To bridge the existing gap between the concentration of Legionella in a water network and the deposition of bacteria within the thoracic region (assessment of the number of viable Legionella), we validated a model mimicking realistic exposure through the use of (i) recent technology for aerosol generation and (ii) a 3D replicate of the human upper respiratory tract. The model's sensitivity was determined by monitoring the deposition of (i) aerosolized water and Tc99m radio-aerosol as controls, and (ii) bioaerosols generated from both Escherichia coli and Legionella pneumophila sg 1 suspensions. The numbers of viable Legionella prior to and after nebulization were provided by culture, flow cytometry and qPCR. This study was designed to obtain more realistic data on aerosol inhalation (vs. animal experimentation) and deposition at the thoracic region in the context of LD. Upon nebulization, 40% and 48% of the initial Legionella inoculum was made of cultivable and non-cultivable cells, respectively; 0.7% of both populations reached the filter holder mimicking the thoracic region in this setup. These results are in agreement with experimental data based on quantitative microbial risk assessment methods and bring new methods that may be useful for preventing LD.

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Year:  2017        PMID: 28982141      PMCID: PMC5628919          DOI: 10.1371/journal.pone.0186042

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Legionella (gram-negative bacilli) are ubiquitous in natural and anthropogenic aquatic ecosystems. They are responsible for severe pneumonia that may be fatal in 30% of cases when considering nosocomial infections. L. pneumophila is, by far, the most frequent species associated with Legionnaires’ disease (LD). The incidence of LD in European countries per million population increased from 4.3 to 11.5 during 1998–2012 [1,2]. A recent publication on drinking water shows that Legionella spp. were responsible for 66% of outbreaks and 26% of illnesses in the USA between 2011–2012 [3]. Surveillance of Legionella is based on water sample analysis by a standardized culture assay (AFNOR T90-431 / ISO 11731) and/or standardized real-time PCR method (AFNOR T90-471 / ISO 12869). Our previous studies on Legionella reservoirs have shown that whatever the method employed, it is difficult to correlate the concentration of Legionella and the infectious risk probably due to the presence of viable but non-culturable Legionella (VBNC) in water samples, and to a lesser extent, the presence of PCR and culture inhibitors [4-8]. Indeed, at least 14 physiological forms of L. pneumophila have been described in the environment [9]. Among them, the presence of VBNC forms, such as those deriving from exponential phase forms (EPFs) and stationary phase forms (SPFs), in water samples contributes to the number of potentially pathogenic Legionella being underestimated. In a previous study, we have shown that VBNC Legionella deriving from these forms were infectious for macrophage-like cells [7]. Moreover, human infection occurs almost exclusively through aerosol inhalation. Aerosols drive Legionella to the lungs. It is well documented that the bacteria multiply within a reprogrammed Legionella-specific vacuole into alveolar macrophages and some other cells of the respiratory mucosa [10-12]. To date, very few studies aimed at evaluating the concentration of Legionella in aerosolized particles have been published. For those available, discrepant results do not favour their use in the field [13-16]. To assess the risk of LD infection, QMRA (Quantitative Microbial Risk Assessment) methods provide models for aerosol dispersion [17-21]. However, these risk models are based on infectious doses extrapolated to humans from animal inhalation [22-26], intraperitoneal injection or tracheal instillation studies [27,28]. To bridge the existing gap between the concentration of Legionella in water distribution systems and the LD infectious doses for humans, there is a need to propose an original human-like respiratory model coupled with an experimental setup of Legionella aerosol generation. In this study, we describe a model mimicking realistic conditions of exposure to Legionella through the use of the following: A vibrating-mesh nebulization system, which is a recent technology for aerosol generation [29,30]. Such nebulizers mimic the dispersion of aerosols generated by various devices (showers, cooling towers) connected to water distribution systems (see S1 Fig). A 3D printed replicate of the human upper respiratory tract (initially optimized from a plastinated nasal cast) previously developed [30-33] and connected to a filter mimicking the thoracic region. This study is the first to account for both the physiological status of aerosolized Legionella and the inoculum size that may reach the lungs. Moreover, this article demonstrates the usefulness of our human-like respiratory model dedicated to Legionella aerosol deposition. Finally, new insights into aerosol dispersion, transport and human exposure to LD are provided.

Results

Development and validation of a respiratory model dedicated to Legionella aerosol deposition

Set-up description

Our study has benefited from the newest technology available on the nebulizer market for aerosol generation, a vibrating-mesh nebulization [29,30]. As shown in Fig 1, the setup was linked to a pump simulating inspiration and allowing aerosol dispersion from the mesh-nebulizer between 0.6 and 0.9 mL.min-1. The human replicate was connected to the mesh-nebulizer through an inhalation chamber. The thoracic region (TR) was simulated by a filter holder (FH) with a polycarbonate membrane. The TR was connected to the human replicate through an artificial trachea. This anatomically realistic upper airway model maintains the natural curvature and volume of the upper airway and its original aerodynamic behaviour [31].
Fig 1

Human-like experimental model inside a glove box.

This experimental setup allows the dispersion and collection of Legionella aerosols reaching the filter holder mimicking the thoracic region. Black arrows indicate the direction of airflow.

Human-like experimental model inside a glove box.

This experimental setup allows the dispersion and collection of Legionella aerosols reaching the filter holder mimicking the thoracic region. Black arrows indicate the direction of airflow.

Safety control

First, the natural heterotrophic flora in the glove box and in the experimental room were measured. The first nebulization tests were carried out with sterile distilled water (aerosolized water) and suspensions of Escherichia coli strain 039 (Ec 039) in order to check the sealing of the respiratory model and potential contamination of the glove box and the experimental room. After several rounds of optimization, no leaks were visually observed. Ten rounds of nebulization with sterile distilled water showed that only 0.35 ± 0.1 mL (i.e., 8.8%) of the water was lost. Following the first experiments, only 147 out of 6.2x106 CFU (i.e., 0.002%) of the aerosolized Ec 039 were detected in the glove box. This value decreased to 24 out of 9x106 CFU (i.e., 0.0003%). Ec 039 was detected neither in the glove box airlock nor in the experimental room. The sealing of the experimental setup was also checked through aerosol nebulization of Lp1 008-GFP suspension with only 0.0001% of the initial aerosolized inoculum detected in the glove box. Therefore, we can assume that water leaks are negligible. The weak presence of endogenous flora in the air of the experimental room and in the glove box (below the quantification limit of 4 bacteria according to NF EN ISO 8199 [34]) indicates that the manipulations were carried out in good conditions and without interference with the nebulization experiments.

The sensitivity of the model as determined by percentages of aerosol deposition within the experimental setup

We monitored the deposition of aerosolized water and radiolabelled Tc99m as aerosol controls and of bioaerosols (Ec 039 and Lp1 008-GFP). The deposition of aerosols in the filter holder (FH) mimicking the thoracic region and of the non-aerosolized suspension in the mesh-nebulizer tank were assessed by weighing. The deposition of the aerosol radiolabelled with Tc99m was visualized and quantified by 2D planar scintigraphy (Fig 2).
Fig 2

The sensitivity of the model as determined by 2D planar scintigraphy of Tc99m.

(A) Aerosolization in the setup for 5 min. Mesh-nebulizer with inhalation chamber (1), Human replicate (2) and Filter holder (3). (B) 2D scintigraphic images recorded over a 2-min period for each element of the setup. Regions of interest (ROIs, boxed in red) were delimited on the images with correction of the background using a mean of 3 external ROIs (blue squares).

The sensitivity of the model as determined by 2D planar scintigraphy of Tc99m.

(A) Aerosolization in the setup for 5 min. Mesh-nebulizer with inhalation chamber (1), Human replicate (2) and Filter holder (3). (B) 2D scintigraphic images recorded over a 2-min period for each element of the setup. Regions of interest (ROIs, boxed in red) were delimited on the images with correction of the background using a mean of 3 external ROIs (blue squares). The weight percentage of water, the percentage of radioactivity for Tc99m and the percentage of bacteria aerosolized and reaching the FH (Table 1) were calculated for all nebulization experiments (n = 40). For each experiment, 4.0 ± 0.3 mL (out of 5 mL in the nebulizer tank) was finally aerosolized. The time needed to disperse such a volume was 5.6 ± 1.2 min. Therefore, our model simulates total aerosol output between 0.6 and 0.9 mL.min-1. As shown in Table 1, no significant differences were observed between Ec 039, Lp1 008-GFP and aerosolized water, meaning that the presence of biological particles in the aerosols did not alter their pattern of deposition. The percentage reaching the FH, i.e., the thoracic region, varied from 2.4 to 7.4%. By contrast, the aerosol labelled radioactively using Tc99m showed higher deposition in the thoracic region (9.4%) compared to the three other weighing methods (water aerosol and bioaerosol containing Ec 039 or Lp1 008-GFP). In agreement with our previous studies [29-31], these results remained in the same 5–10% range of thoracic deposition. The difference between Tc99m and the other markers is because the radiolabelling method is clearly more accurate and sensitive.
Table 1

Percentages of water, Tc99m and aerosolized bacteria reaching the filter holder.

Aerosols reaching FH (%)Mean ± SD (Min—Max)
Water (n = 10)5.0 ± 1.3 (3.5–7.4)
E. coli 039 (n = 10)5.0 ± 1.1 (3.4–6.9)
Lp1 008 (n = 20)4.8 ± 1.4 (2.4–7.2)
Tc99m (n = 3)9.4 ± 4.0 (5–12.8)

The percentage reaching the filter holder (FH) was obtained by weighing the polycarbonate membrane for Water, Ec 039 and Lp1 008-GFP assays. For Tc99m radioactivity quantification, see Fig 2. n: number of samples.

The percentage reaching the filter holder (FH) was obtained by weighing the polycarbonate membrane for Water, Ec 039 and Lp1 008-GFP assays. For Tc99m radioactivity quantification, see Fig 2. n: number of samples.

Quantification of total (viable and culturable (VC), VBNC and dead cells (DC)) bacteria

VC bacteria were assessed in the calibrated suspensions (CS) and in the aerosolized fraction reaching the FH using colony counts (by culture). The quantification of total bacteria was done by qPCR. As shown in Table 2, the same percentage of VC reaching FH was observed when testing suspensions of Ec 039 (n = 10) and Lp1 008-GFP (n = 20) (p = 0.07). The quantification of total bacteria shows no significant difference between the percentages of total Ec 039 (1.81%) and Lp1 008-GFP (0.89%) reaching FH (p = 0.1).
Table 2

Quantification of viable and culturable (VC) cells by culture and total cells by qPCR.

CSFH% at FH
CultureNumber of VC (CFU) p = 0.07Ec 039 (n = 10)
Mean9.8 x1067.6 x1030.14
SD1.7 x1078.7 x1030.11
min7.3 x1056.3 x1020.02
max5.7 x1072.9 x1040.29
Lp1 008-GFP (n = 20)
Mean2.1 x1063.1 x1030.23
SD2.4 x1063.5 x1030.17
min1.6 x1046.5 x1010.08
max7.3 x1061.1 x1040.71
qPCRNumber of bacteria (eq. CFU) p = 0.1Ec 039 (n = 10)
Mean1.3 x1092.4 x1061.81
SD2.3 x1093.9 x1062.19
min3.3 x1068.4 x1040.01
max9.2 x1091.4 x1076.35
Lp1 008-GFP (n = 20)
Mean4.5 x1075.9 x1040.89
SD9.6 x1071.8 x1051.92
min1.7 x1048.2 x1010.00
max5.0 x1089.5 x1058.88

CS: calibrated suspension (quantification of bacteria in the 5 mL suspension deposited in the nebulizer tank). FH: Filter holder (quantification of bacteria reaching FH after nebulization). eq. CFU: equivalent CFU. n: number of samples. The percentage of bacteria reaching the FH has been calculated for each experiment (10 or 20 experiments for Ec 039 and Lp1 008-GFP respectively). The percentages presented in the column “% at FH” (in grey) are the mean, the standard deviation (SD), the min and the max of the calculated percentage of bacteria reaching FH for each experiment.

CS: calibrated suspension (quantification of bacteria in the 5 mL suspension deposited in the nebulizer tank). FH: Filter holder (quantification of bacteria reaching FH after nebulization). eq. CFU: equivalent CFU. n: number of samples. The percentage of bacteria reaching the FH has been calculated for each experiment (10 or 20 experiments for Ec 039 and Lp1 008-GFP respectively). The percentages presented in the column “% at FH” (in grey) are the mean, the standard deviation (SD), the min and the max of the calculated percentage of bacteria reaching FH for each experiment. When using a flow cytometric assay (FCA), the detection limit of which is 1x103 bacteria/mL, an Lp1 008-GFP calibrated suspension of 2x106 CFU/mL was necessary considering that a mean of 0.89% of total Legionella cells can reach the FH (Table 2). Similar flow cytometric profiles (Fig 3A) were obtained for all the samples (n = 10). A decrease in the percentages of viable cells (VC and VBNC) upon nebulization is shown in Table 3.
Fig 3

Determination of physiological state of Legionella aerosols in calibrated suspension before aerosolization.

A. Representative analysis by FCA. B. Visual control for FCA by epifluorescence microscopy (400x). DC: Dead Cells (red bacteria by microscopy). VBNC: Viable But Not Culturable (double-labelled bacteria by microscopy). VC: Viable and Culturable (green bacteria by microscopy).

Table 3

Effect of nebulization on the physiological forms of Legionella.

FCA (%)(Lp1 008 -GFP) (n = 10)VCVBNCDC
CSFHCSFHCSFH
Mean40.233.448.238.811.627.8
Standard deviation3.63.64.53.06.96.6

CS: calibrated suspension. FH: Filter holder (after nebulization). Viable and culturable cells (VC); viable but not culturable (VBNC) and dead cells (DC). n = number of samples.

Determination of physiological state of Legionella aerosols in calibrated suspension before aerosolization.

A. Representative analysis by FCA. B. Visual control for FCA by epifluorescence microscopy (400x). DC: Dead Cells (red bacteria by microscopy). VBNC: Viable But Not Culturable (double-labelled bacteria by microscopy). VC: Viable and Culturable (green bacteria by microscopy). CS: calibrated suspension. FH: Filter holder (after nebulization). Viable and culturable cells (VC); viable but not culturable (VBNC) and dead cells (DC). n = number of samples. Epifluorescence microscopy was used as a visual control for the FCA results (Fig 3B). Knowing the mean percentage of each physiological form (by FCA) in the CS and in the FH and the total number of cells (eq. CFU by qPCR), we could estimate the number of other forms (Table 4, deduced from qPCR). In the same way, knowing the number of VC cells (CFU by culture), we could estimate the number of other forms (Table 4, deduced from culture). As qPCR is more sensitive (as qPCR can detect DNA and DNA fragments of dead cells), a higher percentage of Legionella reaching the FH (i.e., the thoracic region) is observed but there is no significant difference between the two methods (p = 0.07). Upon nebulization, 40% of the initial inoculum is made of cultivable cells (VC) and 48% of viable but not cultivable cells (VBNC). Only a small part of both VC and VBNC cells within the initial nebulized inoculum may reach the thoracic region mimicked by a filter holder (0.7% of both populations).
Table 4

Estimation of the number of physiological forms of Legionella.

Lp1 008-GFP (n = 20)CSFH% at FH
FCA (%)deduced fromFCA (%)deduced fromdeduced from
qPCRCultureqPCRCultureqPCRCulture
Total cells1004.5 x1075.2 x1061005.9 x1049.3 x1030.890.28
VC40.21.8 x1072.1 x10633.42.0 x1043.1 x1030.740.23
VBNC48.22.2 x1072.5 x10638.82.3 x1043.6 x1030.710.23
DC11.65.2 x1066.1 x10527.81.6 x1042.6 x1032.120.68

qPCR results are expressed in CFU equivalents (see the Materials and methods section). Culture results are expressed in CFU. FCA results are in percentages. Bold numbers are experimental data. Other figures were deduced from these data. CS: calibrated suspensions. FH: Filter holder. n: number of samples.

qPCR results are expressed in CFU equivalents (see the Materials and methods section). Culture results are expressed in CFU. FCA results are in percentages. Bold numbers are experimental data. Other figures were deduced from these data. CS: calibrated suspensions. FH: Filter holder. n: number of samples.

Extrapolation from French target values

The current French target values for Legionella control in water networks are alert value: 1x103 Legionella/L and action value: 1x105 Legionella/L. In this study, our purpose was to evaluate the number of Legionella that can reach the thoracic region if a concentration of Legionella equal to the French guideline values was present in the hot water distribution system. Unfortunately, considering that we could not aerosolize suspensions with bacterial concentrations lower than the detection limit of the FCA method, we extrapolated the numbers of viable Legionella reaching the FH if theoretical exposures of 1x103 or 1x105 Legionella per litre were considered. In our calculations, to mimic a shower, we considered an exposure of 20 minutes under a nebulization rate of 0.6 to 0.9 mL/min (Table 5).
Table 5

Numbers of viable (VC + VBNC) Legionella aerosolized and reaching FH (mimicking thoracic region) if extrapolated from French target values.

Theoretical concentration of Legionella in water network (CFU/L)1.0 x103 (a)1.0 x105 (b)
Number of Legionella aerosolized(CS—extrapolated from our model)26–402640–3960
Number of Legionella reaching FH(extrapolated from our model)0.2–0.319–29

(a) alert value (b) action value (37). Extrapolation was done for an exposure of 20 min at 0.6 to 0.9 mL/min.

(a) alert value (b) action value (37). Extrapolation was done for an exposure of 20 min at 0.6 to 0.9 mL/min. Table 5 shows that a maximum of 0.3 and 29 CFU can reach the FH mimicking the thoracic region for the French alert and action values, respectively.

Discussion

The proliferation of Legionella in sanitary hot water systems is controlled through the use of heat shock or chlorination treatment. Nevertheless, Legionella is currently the aetiologic agent most frequently associated with community water system outbreaks (65.6%) in the USA [3]. In Europe, the number of LD cases is mainly correlated with exposure to cooling towers (58%), water systems (26%) and pools (1%) [35]. Legionella control in water systems is associated with concentration thresholds (Colony Forming Units—CFU) that have been empirically defined. In the case of sanitary hot water and for the general population, the French regulation has set the alert value for L. pneumophila to 1x103 CFU.L-1. For high-risk patients (such as those immunosuppressed), the regulation is not to exceed the detection limit of the culture method [36]. For cooling towers, the Ministry of Environment has defined two target values for L. pneumophila [37]. The first threshold (1x103 CFU.L-1) is associated with the need to undertake measures to control Legionella proliferation (alert value); the second (1x105 CFU.L-1) is correlated with an immediate shutdown of the facility (action value). Because infection of humans occurs through aerosol inhalation, in this study, we describe a model that simulates exposure close to that under realistic conditions. Indeed, our model mimics (i) the way aerosols are produced by showers or cooling towers (nebulization) and (ii) a human upper respiratory tract [19,38]. Compared to jet nebulizers, vibrating-mesh nebulizers generate reproducible aerosols of respirable size (see S1 Fig) and there is a lower residual volume in the reservoir [39]. This study is the first to account for both the physiological status of aerosolized Legionella and the inoculum size that may reach the thoracic region. In a previous study on the characterization of aerosols containing Legionella, we showed that direct nebulization into a low-pressure cascade impactor (DLPI) had no impact on Legionella viability [29]. However, in the current study, because of mechanical constraints, the airborne transport from the nebulizer through the inhalation chamber, human head replicate and trachea killed a significant portion of the inoculum (Fig 3 and Table 3). It is not clear whether this phenomenon is due to the lack of mucosal layers within the upper respiratory tract replicate. Despite this, our setup is more realistic than any animal model [40], as we generate Legionella aerosols on a human head replicate. To date, to our knowledge, this model remains the most relevant for such purposes. Extrapolating from our model (Table 5), an exposure of 20 min (with aerosol dispersion between 0.6 and 0.9 mL.min-1 from the calibrated suspension) with 1x105 Legionella is likely to carry approximately 30 viable bacteria to the thoracic region. According to the animal infections experiments as well as those of Armstrong et al. on QMRA (Quantitative Microbial Risk Assessment) models, 30 bacteria are not sufficient to cause infection to people with a "normal" immune system. But, according to statistics available, most LD cases are related with immunosuppressed patients. Therefore, this French action value of 1x105 Legionella/L (correlated with an immediate shutdown of the facilities), could be decreased for facilities that can generate aerosols in contact with immunosuppressed persons. To assess the risk of LD infection, the QMRA method provides models for aerosol dispersion. Hines et al. [22] confirmed that a screening-level exposure assessment approach can yield applicable data to assess the contribution of water uses to potential Legionella exposure. However, QMRA methods are still hindered by the difficulty of properly assessing both the emission and exposure factors and the physiological role of the respiratory mucosa. Our model provides experimental data following nebulization as an exposure factor. However, the current model does not address deposition at the alveoli, which is the target organ for initiation of Legionella infection. In the same manner, some removal of aerosols is likely to occur between the upper and lower respiratory pathways. Further experiments using an ex vivo human-like model are in progress to investigate the physiological role of the respiratory mucosa in the Legionella infection process. In this model, the filter holder (FH) is replaced by porcine ex vivo lungs. There is still a need to evaluate whether an exposure of 20 minutes during a shower is comparable (the number of aerosolized bacteria reaching the lungs) to an exposure using our model of nebulization.

Materials and methods

Experimental procedure

The calibrated suspensions were analysed before and after nebulization in the experimental model.

Bacterial culture, suspensions preparation and characterization

An Escherichia coli (Ec 039) strain and a Legionella pneumophila serogroup 1 (Lp1 008-GFP) GFP-modified strain were used [41,42]. They were stored at -80°C in Cryobank tubes (Mast Diagnostic, France). After thawing, Lp1 008-GFP and Ec 039 were plated, respectively, onto BCYE agar (Buffered Charcoal Yeast Extract, SR0110 C, Oxoid, France) and Luria Broth (LB) agar supplemented with chloramphenicol (Sigma Aldrich, France) at 8 mg/mL (for GFP plasmid selection) for 24 h (Ec 039) or 72 h (Lp1 008-GFP) at 37°C. They were then re-plated onto the same medium and incubated at 37°C for another 24 h (Ec 039) or for 3 days (Lp1 008-GFP). These cultures were then used to achieve a 10-mL calibrated suspension (CS) in sterile normal saline (0.9% NaCl) water. The final concentrations tested were 2x106 and 2x105 CFU/mL for Legionella and 2x106 CFU/mL for E. coli.

Description of the experimental model

An original human experimental respiratory model mimicking the upper and lower respiratory systems was used in this study. The setup was composed of a human resin replicate corresponding to the entire nasal cavity (nasal fossae, frontal, ethmoid and maxillary sinuses) without the oral cavity. This replicate was obtained after 3D reconstruction of a human head after a precise computerized tomography scan (CT-scan) as described in previous studies [31,33]. For this study, the replicate was manufactured in transparent water-resistant and non-porous resin. Endoscopy and qualitative CT-scan observations were performed on the replicate in order to assess anatomical reproducibility with a human plastinated known model [32]. Precise measurements were compared in critical anatomical regions: ostia and maxillary sinuses. As shown in Fig 1, the human replicate was linked to a pump (model 420–2902–230 VAC, 50 Hz, 0.6 Amp, 1 PH, 0.02 HP, Thermo Scientific, France) simulating inhalation and allowing aerosol dispersion between 0.6 and 0.9 mL.min-1 of the calibrated suspensions. To avoid any bacterial contamination of the pump, an environmental filter (PALL filter BB50TE, PALL Medical, France) was placed after the thoracic filters. The thoracic region (TR) was simulated by a filter holder (Filter kit and filter PAD PARI, PulmoMed, France) with a polycarbonate membrane (Membrane filters Nuclepore™ track etched, Whatman, GE Healthcare, France) that allowed optimal bacterial recovery (according the standard procedures (AFNOR T90-431 / ISO 11731). Five millilitres of the calibrated suspension was nebulized in the respiratory model through an inhalation chamber (ID Tandem). The mesh-nebulizer (eRapid® Nebulizer System by PARI, Cystic Fibrosis Services, France) used to aerosolize the bacterial suspension is an e-base nebulizer linked to a small compressor that delivered aerosols with a vibrating membrane technology (see S1 Fig). For safety reasons, the model was placed in a glove box (815-PGB “LA PETITE” GLOVE BOX, Fisher Scientific, France).

Retrieving bacterial aerosols at thoracic region for subsequent analysis

To quantify the percentage of bacteria reaching the filter holder (the percentage of bacteria quantified at the target zone in relation to the inoculum concentration introduced into the nebulizer reservoir), the polycarbonate membrane (Fig 1) was weighed (1 g = 1 mL of water) before and after the nebulization. The membrane was placed in 5 mL of BYE (Buffered Yeast Extract, SR0110 C, Oxoid, France) or LB. After agitation for 30 s the membrane was scraped using an automatic pipette tip. One millilitre was plated twice on adapted culture medium to count viable and culturable (VC) bacteria; 1 mL was placed in a 1.5-mL tube for DNA extraction and qPCR analysis. For Legionella only, 1 mL was placed in a flow cytometry tube for flow cytometry (FCA) and microscopic analyses. The same procedure was applied to the residual volumes of suspension remaining in the full setup: the volume not nebulized (staying in the nebulizer tank after nebulization) and the volumes collected from the human replicate, inhalation chamber and artificial trachea.

Validation of model safety and sensitivity

After several rounds of experiments to optimize the sealing of the entire model, the lack of leaks in the experimental setup was checked by applying 10 rounds of nebulization with sterile distilled water. Leaks were assessed by visual control and weighing by comparing the volume of water aerosolized from the mesh-nebulizer with the residual volume of water remaining in the full setup after nebulization. The percentage of water is the weight percentage of the water reaching the target zone in relation to the volume introduced into the reservoir of the nebulizer. To evaluate potential contamination of the glove box and the experimental room, a second round of nebulization (n = 10) was carried out with Ec 039. During these experiments opened bacterial agar dishes were distributed inside and outside of the glove box (Fig 2). This procedure was systematically applied during subsequent nebulization assays. The dispersion of aerosols in the entire setup was assessed using Technetium 99m (Tc99m). Briefly, 4 mL of the radioactive suspension was aerosolized in the setup for 5 min (Fig 3). Radioactivity was measured over a 2-min period. Images of the setup were acquired by 2D planar scintigraphy with a planar gamma camera (resolution 128 × 128) using a single detector equipped with a low-energy, high-resolution collimator: E-cam camera (Siemens, Germany; 397 mm × 500 mm collimator) [43]. A region of interest (ROI) was delimited on the images with correction of the background using a mean of 3 external ROIs (Fig 3B). All calculations accounted for the background radiation and physical decay of radioactivity. The results were expressed in terms of the activity loaded into the nebulizer. These data allowed precise determination of the amount of radioactivity reaching the filter holder and the different regions of the setup. The results are expressed as the percentage of Tc99m, the percentage of the radioactive activity (thus Becquerel’s) reaching the target zone with respect to the radioactivity introduced into the reservoir of the nebulizer.

qPCR

Quantification was performed using GFP mut2 sequence [44] expression by Ec 039 and Lp1 008-GFP. The forward and reverse primers were, respectively, 5’- AGAGTGCCATGCCCGAAGGT -3’ and 5’- AAGGACAGGGCCATCGCCAA -3’. Plasmid DNA was extracted from all samples and a standard curve was made with the NuCleoSpin Plasmid kit (Macherey-Nagel, France) following the manufacturer’s instructions. qPCR was carried out on an ABI Prism 7500 automate (Applied Biosystems, France), using the 2X Power SYBR® Green PCR Master Mix (Life Technologies, France) as follows: initial denaturation for 15 min and a two-step cycle consisting of 15 s denaturation, 1 min annealing and elongation at 60°C. At the end of each elongation step, the fluorescence of the incorporated SYBR Green dye was measured. At the end of 45 cycles of amplification, a melting curve program was incorporated to check for any primer dimers or other non-specific amplification. Each sample was run in duplicate. To express results in CFU equivalents, a standard curve was done with Lp1 008-GFP suspensions ranging from 2x107 to 2x102 CFU/mL. The results were analysed using Sequence Detection Software version 1.4 (ABI 7500 System Software, Applied Biosystems, France).

Flow cytometric assay (FCA)

As previously described [5-7], FCA profiles of samples were obtained by using a combination of GFP green fluorescence (viable cells expressing GFP) and propidium iodide (PI) red fluorescence for cells with damaged membranes. Flow cytometric measurements were performed using a BD FACSCalibur instrument (Becton Dickinson Biosciences) equipped with an air-cooled argon laser (488-nm emission; 20 mW). The green fluorescent emission from GFP was collected in the FL1 channel (500 to 560 nm), and the red fluorescence from PI was collected in the FL3 channel (670 nm). A threshold was applied to the FL1 channel to eliminate background signals. Analyses were performed at a low-flow-rate setting. The results were analysed with Cell Quest Pro software (Becton Dickinson Biosciences).

Epifluorescence microscopy

FCA samples (20 μL) were observed on a Nikon Eclipse Ti-S microscope equipped with a Nikon Digital Sight camera at a magnification of 400. The acquisition and image processing were done through Nis-D Element 3.0 software (Nikon).

Statistics

The results are presented as the mean ± SD (standard deviation). We determined the statistical significance of differences between groups using Student’s t-test or ANOVA analyses. The value of p was considered significant for p<0.05. The statistical analysis was performed using StatView software version 5.0 (SAS Institute Inc., USA).

Cumulative distribution of airborne droplets characterized by a low-pressure impactor (DLPI).

Legionella nebulization and quantification by qPCR (expressed in % of genetic units reaching each stage of the DLPI, i.e., in % of total airborne Legionella). Particles greater than 10 μm were not plotted. (DOCX) Click here for additional data file.

Experimental procedure.

VC: viable and culturable cells. VBNC: viable but not culturable cells. DC: dead cells. n: number of samples. (TIF) Click here for additional data file.
  37 in total

1.  Evaluation of an immunomagnetic separation assay in combination with cultivation to improve Legionella pneumophila serogroup 1 recovery from environmental samples.

Authors:  S Allegra; F Girardot; F Grattard; P Berthelot; J H Helbig; B Pozzetto; S Riffard
Journal:  J Appl Microbiol       Date:  2011-04       Impact factor: 3.772

2.  Longitudinal evaluation of the efficacy of heat treatment procedures against Legionella spp. in hospital water systems by using a flow cytometric assay.

Authors:  Severine Allegra; Florence Grattard; Françoise Girardot; Serge Riffard; Bruno Pozzetto; Philippe Berthelot
Journal:  Appl Environ Microbiol       Date:  2010-12-23       Impact factor: 4.792

3.  Legionella bacteria in aerosols: sampling and analytical approaches used during the legionnaires disease outbreak in Pas-de-Calais.

Authors:  Laurence Mathieu; Enric Robine; Magali Deloge-Abarkan; Sebastien Ritoux; Daniele Pauly; Philippe Hartemann; Denis Zmirou-Navier
Journal:  J Infect Dis       Date:  2006-05-01       Impact factor: 5.226

4.  Quantitative microbial risk assessment model for Legionnaires' disease: assessment of human exposures for selected spa outbreaks.

Authors:  Thomas W Armstrong; Charles N Haas
Journal:  J Occup Environ Hyg       Date:  2007-08       Impact factor: 2.155

5.  Detection of airborne Legionella while showering using liquid impingement and fluorescent in situ hybridization (FISH).

Authors:  Magali Deloge-Abarkan; Thi-Lan Ha; Enric Robine; Denis Zmirou-Navier; Laurence Mathieu
Journal:  J Environ Monit       Date:  2006-11-10

6.  Size distribution of bacterial and fungal bioaerosols in indoor air.

Authors:  Rafał Górny; Jacek Dutkiewicz; Ewa Krysińska-Traczyk
Journal:  Ann Agric Environ Med       Date:  1999       Impact factor: 1.447

7.  Dispersion of Legionella-containing aerosols from a biological treatment plant, Norway.

Authors:  Janet Martha Blatny; Hannibal Fossum; Jim Ho; Murat Tutkun; Gunnar Skogan; Oyvind Andreassen; Else Marie Fykse; Viggo Waagen; Bjorn Anders Pettersson Reif
Journal:  Front Biosci (Elite Ed)       Date:  2011-06-01

8.  Aerosol infection of animals with strains of Legionella pneumophila of different virulence: comparison with intraperitoneal and intranasal routes of infection.

Authors:  R B Fitzgeorge; A Baskerville; M Broster; P Hambleton; P J Dennis
Journal:  J Hyg (Lond)       Date:  1983-02

9.  Micron-sized and submicron-sized aerosol deposition in a new ex vivo preclinical model.

Authors:  Sophie Perinel; Lara Leclerc; Nathalie Prévôt; Agathe Deville; Michèle Cottier; Marc Durand; Jean-Michel Vergnon; Jérémie Pourchez
Journal:  Respir Res       Date:  2016-07-07

10.  Characterization of aerosols containing Legionella generated upon nebulization.

Authors:  Séverine Allegra; Lara Leclerc; Pierre André Massard; Françoise Girardot; Serge Riffard; Jérémie Pourchez
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

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  3 in total

1.  Dispersion of Legionella bacteria in atmosphere: A practical source location estimation method.

Authors:  Steven Dyke; Iain Barrass; Kevin Pollock; Ian M Hall
Journal:  PLoS One       Date:  2019-11-25       Impact factor: 3.240

2.  Quantitative Microbial Risk Assessment and Opportunist Waterborne Infections⁻Are There Too Many Gaps to Fill?

Authors:  Richard Bentham; Harriet Whiley
Journal:  Int J Environ Res Public Health       Date:  2018-06-01       Impact factor: 3.390

3.  Risk Exposure to Legionella pneumophila during Showering: The Difference between a Classical and a Water Saving Shower System.

Authors:  Hélène Niculita-Hirzel; Audrey S Vanhove; Lara Leclerc; Françoise Girardot; Jérémie Pourchez; Séverine Allegra
Journal:  Int J Environ Res Public Health       Date:  2022-03-10       Impact factor: 3.390

  3 in total

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